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Senior AI-Native Data Engineer (f/m/x)

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EMP:Technology
Hamburg
Tiempo Completo
Remoto
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Descripción

Your MissionThis is a company built for growth.

When you join exmox, you're stepping onto a global, highly competitive playing field, building high-performing consumer products in mobile gaming.

We're scaling a rewarded user engagement and acquisition platform that helps publishers acquire and retain players, and here, data isn't just analyzed, it's turned into systems that directly drive business performance.

As a Senior AI-Native Data Engineer (f/m/x), you'll operate at the intersection of data, engineering, and product, building and scaling the data foundation that powers our entire business.

This isn't a role for maintaining pipelines or following predefined processes, we look for engineering mindset and entrepreneurial ownership: you build it, you own it, and you see the impact in production.

AI is not a side tool here, it's core to how you work: you'll use Claude and similar AI tools daily to plan, build, debug, and document, including managing context and memory across projects, integrating AI directly into your version control workflow, and running parallel agent workflows on separate tasks, cutting repetitive tasks so you can focus where it actually moves the needle.

We believe a small team of engineers working closely with AI can outperform a much larger traditional data team, and we're building this role around that belief, not around AI as an occasional convenience.

If you're excited by complex systems, high traffic, and data-driven decisions, and impact matters more to you than process, we want to hear from you.

We use AI for everything in order to improve speed and quality.

What You’ll Own:Data Pipelines & Integration: You design, develop, and maintain scalable ETL pipelines on Databricks to integrate data from various sources, including app and web products and marketing partner data, ensuring reliable and efficient data flow across the business.

Data Lakehouse Ownership: You build and manage the Data Lakehouse on Databricks, including migrating legacy d.

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